Dataset statistics
| Number of variables | 34 |
|---|---|
| Number of observations | 1470 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 390.6 KiB |
| Average record size in memory | 272.1 B |
Variable types
| Numeric | 14 |
|---|---|
| Boolean | 3 |
| Categorical | 17 |
Date_of_Hire has a high cardinality: 1112 distinct values | High cardinality |
Age is highly correlated with TotalWorkingYears | High correlation |
JobLevel is highly correlated with MonthlyIncome and 1 other fields | High correlation |
MonthlyIncome is highly correlated with JobLevel and 1 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
TotalWorkingYears is highly correlated with Age and 4 other fields | High correlation |
YearsAtCompany is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with YearsAtCompany and 1 other fields | High correlation |
YearsWithCurrManager is highly correlated with YearsAtCompany and 1 other fields | High correlation |
year is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
Age is highly correlated with JobLevel and 1 other fields | High correlation |
JobLevel is highly correlated with Age and 4 other fields | High correlation |
MonthlyIncome is highly correlated with JobLevel and 3 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
TotalWorkingYears is highly correlated with Age and 4 other fields | High correlation |
YearsAtCompany is highly correlated with JobLevel and 5 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with YearsAtCompany and 2 other fields | High correlation |
YearsWithCurrManager is highly correlated with YearsAtCompany and 2 other fields | High correlation |
year is highly correlated with JobLevel and 5 other fields | High correlation |
Age is highly correlated with TotalWorkingYears | High correlation |
JobLevel is highly correlated with MonthlyIncome and 1 other fields | High correlation |
MonthlyIncome is highly correlated with JobLevel and 1 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
TotalWorkingYears is highly correlated with Age and 4 other fields | High correlation |
YearsAtCompany is highly correlated with TotalWorkingYears and 2 other fields | High correlation |
YearsWithCurrManager is highly correlated with YearsAtCompany and 1 other fields | High correlation |
year is highly correlated with TotalWorkingYears and 2 other fields | High correlation |
MaritalStatus is highly correlated with StockOptionLevel | High correlation |
JobRole is highly correlated with JobLevel and 1 other fields | High correlation |
JobLevel is highly correlated with JobRole | High correlation |
Department is highly correlated with JobRole | High correlation |
StockOptionLevel is highly correlated with MaritalStatus | High correlation |
Age is highly correlated with JobLevel and 3 other fields | High correlation |
Department is highly correlated with JobRole | High correlation |
JobLevel is highly correlated with Age and 5 other fields | High correlation |
JobRole is highly correlated with Department and 3 other fields | High correlation |
MaritalStatus is highly correlated with StockOptionLevel | High correlation |
MonthlyIncome is highly correlated with Age and 4 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
StockOptionLevel is highly correlated with MaritalStatus | High correlation |
TotalWorkingYears is highly correlated with Age and 7 other fields | High correlation |
YearsAtCompany is highly correlated with Age and 6 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
YearsWithCurrManager is highly correlated with JobLevel and 4 other fields | High correlation |
year is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
Date_of_Hire is uniformly distributed | Uniform |
NumCompaniesWorked has 197 (13.4%) zeros | Zeros |
TrainingTimesLastYear has 54 (3.7%) zeros | Zeros |
YearsAtCompany has 44 (3.0%) zeros | Zeros |
YearsSinceLastPromotion has 581 (39.5%) zeros | Zeros |
YearsWithCurrManager has 263 (17.9%) zeros | Zeros |
Leaves has 243 (16.5%) zeros | Zeros |
Reproduction
| Analysis started | 2021-11-26 09:10:21.939073 |
|---|---|
| Analysis finished | 2021-11-26 09:11:03.578052 |
| Duration | 41.64 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 43 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.92380952 |
| Minimum | 18 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 30 |
| median | 36 |
| Q3 | 43 |
| 95-th percentile | 54 |
| Maximum | 60 |
| Range | 42 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.135373489 |
|---|---|
| Coefficient of variation (CV) | 0.2474114564 |
| Kurtosis | -0.4041451372 |
| Mean | 36.92380952 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.4132863019 |
| Sum | 54278 |
| Variance | 83.45504879 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 35 | 78 | 5.3% |
| 34 | 77 | 5.2% |
| 36 | 69 | 4.7% |
| 31 | 69 | 4.7% |
| 29 | 68 | 4.6% |
| 32 | 61 | 4.1% |
| 30 | 60 | 4.1% |
| 38 | 58 | 3.9% |
| 33 | 58 | 3.9% |
| 40 | 57 | 3.9% |
| Other values (33) | 815 |
| Value | Count | Frequency (%) |
| 18 | 8 | 0.5% |
| 19 | 9 | 0.6% |
| 20 | 11 | 0.7% |
| 21 | 13 | 0.9% |
| 22 | 16 | 1.1% |
| 23 | 14 | 1.0% |
| 24 | 26 | |
| 25 | 26 | |
| 26 | 39 | |
| 27 | 48 |
| Value | Count | Frequency (%) |
| 60 | 5 | 0.3% |
| 59 | 10 | |
| 58 | 14 | |
| 57 | 4 | 0.3% |
| 56 | 14 | |
| 55 | 22 | |
| 54 | 18 | |
| 53 | 19 | |
| 52 | 18 | |
| 51 | 19 |
Attrition
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 1233 | |
| True | 237 | 16.1% |
BusinessTravel
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Travel_Rarely | |
|---|---|
| Travel_Frequently | |
| Non-Travel |
Length
| Max length | 17 |
|---|---|
| Median length | 13 |
| Mean length | 13.44761905 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Travel_Rarely |
|---|---|
| 2nd row | Travel_Rarely |
| 3rd row | Travel_Rarely |
| 4th row | Travel_Rarely |
| 5th row | Travel_Rarely |
Common Values
| Value | Count | Frequency (%) |
| Travel_Rarely | 1043 | |
| Travel_Frequently | 277 | 18.8% |
| Non-Travel | 150 | 10.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| travel_rarely | 1043 | |
| travel_frequently | 277 | 18.8% |
| non-travel | 150 | 10.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Research & Development | |
|---|---|
| Sales | |
| Human Resources | 63 |
Length
| Max length | 22 |
|---|---|
| Median length | 22 |
| Mean length | 16.54217687 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Research & Development |
|---|---|
| 2nd row | Research & Development |
| 3rd row | Research & Development |
| 4th row | Sales |
| 5th row | Research & Development |
Common Values
| Value | Count | Frequency (%) |
| Research & Development | 961 | |
| Sales | 446 | |
| Human Resources | 63 | 4.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| research | 961 | |
| 961 | ||
| development | 961 | |
| sales | 446 | |
| human | 63 | 1.8% |
| resources | 63 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
DistanceFromHome
Real number (ℝ≥0)
| Distinct | 29 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.192517007 |
| Minimum | 1 |
|---|---|
| Maximum | 29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 7 |
| Q3 | 14 |
| 95-th percentile | 26 |
| Maximum | 29 |
| Range | 28 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.106864436 |
|---|---|
| Coefficient of variation (CV) | 0.8818982254 |
| Kurtosis | -0.2248334049 |
| Mean | 9.192517007 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.9581179957 |
| Sum | 13513 |
| Variance | 65.72125098 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 2 | 211 | |
| 1 | 208 | |
| 10 | 86 | 5.9% |
| 9 | 85 | 5.8% |
| 3 | 84 | 5.7% |
| 7 | 84 | 5.7% |
| 8 | 80 | 5.4% |
| 5 | 65 | 4.4% |
| 4 | 64 | 4.4% |
| 6 | 59 | 4.0% |
| Other values (19) | 444 |
| Value | Count | Frequency (%) |
| 1 | 208 | |
| 2 | 211 | |
| 3 | 84 | 5.7% |
| 4 | 64 | 4.4% |
| 5 | 65 | 4.4% |
| 6 | 59 | 4.0% |
| 7 | 84 | 5.7% |
| 8 | 80 | 5.4% |
| 9 | 85 | |
| 10 | 86 |
| Value | Count | Frequency (%) |
| 29 | 27 | |
| 28 | 23 | |
| 27 | 12 | |
| 26 | 25 | |
| 25 | 25 | |
| 24 | 28 | |
| 23 | 27 | |
| 22 | 19 | |
| 21 | 18 | |
| 20 | 25 |
Gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.8 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Male |
| 5th row | Female |
Common Values
| Value | Count | Frequency (%) |
| Male | 882 | |
| Female | 588 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| male | 882 | |
| female | 588 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
JobInvolvement
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 83 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 868 | |
| 2 | 375 | |
| 4 | 144 | 9.8% |
| 1 | 83 | 5.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 868 | |
| 2 | 375 | |
| 4 | 144 | 9.8% |
| 1 | 83 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 4 | |
| 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 3 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 543 | |
| 2 | 534 | |
| 3 | 218 | |
| 4 | 106 | 7.2% |
| 5 | 69 | 4.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 543 | |
| 2 | 534 | |
| 3 | 218 | |
| 4 | 106 | 7.2% |
| 5 | 69 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Sales Executive | |
|---|---|
| Research Scientist | |
| Laboratory Technician | |
| Manufacturing Director | |
| Healthcare Representative | |
| Other values (4) |
Length
| Max length | 25 |
|---|---|
| Median length | 18 |
| Mean length | 18.0707483 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Laboratory Technician |
|---|---|
| 2nd row | Research Scientist |
| 3rd row | Research Director |
| 4th row | Sales Representative |
| 5th row | Laboratory Technician |
Common Values
| Value | Count | Frequency (%) |
| Sales Executive | 326 | |
| Research Scientist | 292 | |
| Laboratory Technician | 259 | |
| Manufacturing Director | 145 | |
| Healthcare Representative | 131 | |
| Manager | 102 | 6.9% |
| Sales Representative | 83 | 5.6% |
| Research Director | 80 | 5.4% |
| Human Resources | 52 | 3.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| sales | 409 | |
| research | 372 | |
| executive | 326 | |
| scientist | 292 | |
| laboratory | 259 | |
| technician | 259 | |
| director | 225 | |
| representative | 214 | |
| manufacturing | 145 | 5.1% |
| healthcare | 131 | 4.6% |
| Other values (3) | 206 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
JobSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 4 | |
|---|---|
| 3 | |
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 4 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 459 | |
| 3 | 442 | |
| 1 | 289 | |
| 2 | 280 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4 | 459 | |
| 3 | 442 | |
| 1 | 289 | |
| 2 | 280 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Married | |
|---|---|
| Single | |
| Divorced |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.902721088 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Single |
|---|---|
| 2nd row | Single |
| 3rd row | Married |
| 4th row | Divorced |
| 5th row | Single |
Common Values
| Value | Count | Frequency (%) |
| Married | 673 | |
| Single | 470 | |
| Divorced | 327 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 673 | |
| single | 470 | |
| divorced | 327 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1349 |
|---|---|
| Distinct (%) | 91.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6502.931293 |
| Minimum | 1009 |
|---|---|
| Maximum | 19999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1009 |
|---|---|
| 5-th percentile | 2097.9 |
| Q1 | 2911 |
| median | 4919 |
| Q3 | 8379 |
| 95-th percentile | 17821.35 |
| Maximum | 19999 |
| Range | 18990 |
| Interquartile range (IQR) | 5468 |
Descriptive statistics
| Standard deviation | 4707.956783 |
|---|---|
| Coefficient of variation (CV) | 0.7239745541 |
| Kurtosis | 1.005232691 |
| Mean | 6502.931293 |
| Median Absolute Deviation (MAD) | 2199 |
| Skewness | 1.369816681 |
| Sum | 9559309 |
| Variance | 22164857.07 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2342 | 4 | 0.3% |
| 2741 | 3 | 0.2% |
| 2610 | 3 | 0.2% |
| 6142 | 3 | 0.2% |
| 2404 | 3 | 0.2% |
| 2559 | 3 | 0.2% |
| 3452 | 3 | 0.2% |
| 6347 | 3 | 0.2% |
| 5562 | 3 | 0.2% |
| 2451 | 3 | 0.2% |
| Other values (1339) | 1439 |
| Value | Count | Frequency (%) |
| 1009 | 1 | |
| 1051 | 1 | |
| 1052 | 1 | |
| 1081 | 1 | |
| 1091 | 1 | |
| 1102 | 1 | |
| 1118 | 1 | |
| 1129 | 1 | |
| 1200 | 1 | |
| 1223 | 1 |
| Value | Count | Frequency (%) |
| 19999 | 1 | |
| 19973 | 1 | |
| 19943 | 1 | |
| 19926 | 1 | |
| 19859 | 1 | |
| 19847 | 1 | |
| 19845 | 1 | |
| 19833 | 1 | |
| 19740 | 1 | |
| 19717 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.693197279 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 197 |
| Zeros (%) | 13.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.498009006 |
|---|---|
| Coefficient of variation (CV) | 0.9275254455 |
| Kurtosis | 0.01021381669 |
| Mean | 2.693197279 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.026471112 |
| Sum | 3959 |
| Variance | 6.240048994 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 521 | |
| 0 | 197 | 13.4% |
| 3 | 159 | 10.8% |
| 2 | 146 | 9.9% |
| 4 | 139 | 9.5% |
| 7 | 74 | 5.0% |
| 6 | 70 | 4.8% |
| 5 | 63 | 4.3% |
| 9 | 52 | 3.5% |
| 8 | 49 | 3.3% |
| Value | Count | Frequency (%) |
| 0 | 197 | 13.4% |
| 1 | 521 | |
| 2 | 146 | 9.9% |
| 3 | 159 | 10.8% |
| 4 | 139 | 9.5% |
| 5 | 63 | 4.3% |
| 6 | 70 | 4.8% |
| 7 | 74 | 5.0% |
| 8 | 49 | 3.3% |
| 9 | 52 | 3.5% |
| Value | Count | Frequency (%) |
| 9 | 52 | 3.5% |
| 8 | 49 | 3.3% |
| 7 | 74 | 5.0% |
| 6 | 70 | 4.8% |
| 5 | 63 | 4.3% |
| 4 | 139 | 9.5% |
| 3 | 159 | 10.8% |
| 2 | 146 | 9.9% |
| 1 | 521 | |
| 0 | 197 | 13.4% |
OverTime
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 1054 | |
| True | 416 | 28.3% |
| Distinct | 15 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.20952381 |
| Minimum | 11 |
|---|---|
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 12 |
| median | 14 |
| Q3 | 18 |
| 95-th percentile | 22 |
| Maximum | 25 |
| Range | 14 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.659937717 |
|---|---|
| Coefficient of variation (CV) | 0.2406346025 |
| Kurtosis | -0.3005982221 |
| Mean | 15.20952381 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.8211279756 |
| Sum | 22358 |
| Variance | 13.39514409 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 11 | 210 | |
| 13 | 209 | |
| 14 | 201 | |
| 12 | 198 | |
| 15 | 101 | |
| 18 | 89 | |
| 17 | 82 | 5.6% |
| 16 | 78 | 5.3% |
| 19 | 76 | 5.2% |
| 22 | 56 | 3.8% |
| Other values (5) | 170 |
| Value | Count | Frequency (%) |
| 11 | 210 | |
| 12 | 198 | |
| 13 | 209 | |
| 14 | 201 | |
| 15 | 101 | |
| 16 | 78 | 5.3% |
| 17 | 82 | 5.6% |
| 18 | 89 | |
| 19 | 76 | 5.2% |
| 20 | 55 | 3.7% |
| Value | Count | Frequency (%) |
| 25 | 18 | 1.2% |
| 24 | 21 | 1.4% |
| 23 | 28 | 1.9% |
| 22 | 56 | |
| 21 | 48 | |
| 20 | 55 | |
| 19 | 76 | |
| 18 | 89 | |
| 17 | 82 | |
| 16 | 78 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 1244 | |
| 4 | 226 | 15.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 1244 | |
| 4 | 226 | 15.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 631 | |
| 1 | 596 | |
| 2 | 158 | 10.7% |
| 3 | 85 | 5.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 631 | |
| 1 | 596 | |
| 2 | 158 | 10.7% |
| 3 | 85 | 5.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 40 |
|---|---|
| Distinct (%) | 2.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.27959184 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 11 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 28 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.780781676 |
|---|---|
| Coefficient of variation (CV) | 0.6898105701 |
| Kurtosis | 0.9182695366 |
| Mean | 11.27959184 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.117171853 |
| Sum | 16581 |
| Variance | 60.54056348 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 10 | 202 | 13.7% |
| 6 | 125 | 8.5% |
| 8 | 103 | 7.0% |
| 9 | 96 | 6.5% |
| 5 | 88 | 6.0% |
| 7 | 81 | 5.5% |
| 1 | 81 | 5.5% |
| 4 | 63 | 4.3% |
| 12 | 48 | 3.3% |
| 3 | 42 | 2.9% |
| Other values (30) | 541 |
| Value | Count | Frequency (%) |
| 0 | 11 | 0.7% |
| 1 | 81 | |
| 2 | 31 | 2.1% |
| 3 | 42 | 2.9% |
| 4 | 63 | |
| 5 | 88 | |
| 6 | 125 | |
| 7 | 81 | |
| 8 | 103 | |
| 9 | 96 |
| Value | Count | Frequency (%) |
| 40 | 2 | 0.1% |
| 38 | 1 | 0.1% |
| 37 | 4 | |
| 36 | 6 | |
| 35 | 3 | 0.2% |
| 34 | 5 | |
| 33 | 7 | |
| 32 | 9 | |
| 31 | 9 | |
| 30 | 7 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.799319728 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 54 |
| Zeros (%) | 3.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.289270621 |
|---|---|
| Coefficient of variation (CV) | 0.4605656896 |
| Kurtosis | 0.494992986 |
| Mean | 2.799319728 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.5531241711 |
| Sum | 4115 |
| Variance | 1.662218734 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 547 | |
| 3 | 491 | |
| 4 | 123 | 8.4% |
| 5 | 119 | 8.1% |
| 1 | 71 | 4.8% |
| 6 | 65 | 4.4% |
| 0 | 54 | 3.7% |
| Value | Count | Frequency (%) |
| 0 | 54 | 3.7% |
| 1 | 71 | 4.8% |
| 2 | 547 | |
| 3 | 491 | |
| 4 | 123 | 8.4% |
| 5 | 119 | 8.1% |
| 6 | 65 | 4.4% |
| Value | Count | Frequency (%) |
| 6 | 65 | 4.4% |
| 5 | 119 | 8.1% |
| 4 | 123 | 8.4% |
| 3 | 491 | |
| 2 | 547 | |
| 1 | 71 | 4.8% |
| 0 | 54 | 3.7% |
YearsAtCompany
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 37 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.008163265 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 44 |
| Zeros (%) | 3.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 9 |
| 95-th percentile | 20 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.126525152 |
|---|---|
| Coefficient of variation (CV) | 0.8741984056 |
| Kurtosis | 3.935508756 |
| Mean | 7.008163265 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.764529454 |
| Sum | 10302 |
| Variance | 37.53431044 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 5 | 196 | |
| 1 | 171 | |
| 3 | 128 | |
| 2 | 127 | |
| 10 | 120 | |
| 4 | 110 | 7.5% |
| 7 | 90 | 6.1% |
| 9 | 82 | 5.6% |
| 8 | 80 | 5.4% |
| 6 | 76 | 5.2% |
| Other values (27) | 290 |
| Value | Count | Frequency (%) |
| 0 | 44 | 3.0% |
| 1 | 171 | |
| 2 | 127 | |
| 3 | 128 | |
| 4 | 110 | |
| 5 | 196 | |
| 6 | 76 | 5.2% |
| 7 | 90 | |
| 8 | 80 | |
| 9 | 82 |
| Value | Count | Frequency (%) |
| 40 | 1 | 0.1% |
| 37 | 1 | 0.1% |
| 36 | 2 | 0.1% |
| 34 | 1 | 0.1% |
| 33 | 5 | |
| 32 | 3 | |
| 31 | 3 | |
| 30 | 1 | 0.1% |
| 29 | 2 | 0.1% |
| 27 | 2 | 0.1% |
| Distinct | 16 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.187755102 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 581 |
| Zeros (%) | 39.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 9 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.222430279 |
|---|---|
| Coefficient of variation (CV) | 1.472939213 |
| Kurtosis | 3.612673115 |
| Mean | 2.187755102 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.984289983 |
| Sum | 3216 |
| Variance | 10.3840569 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 0 | 581 | |
| 1 | 357 | |
| 2 | 159 | 10.8% |
| 7 | 76 | 5.2% |
| 4 | 61 | 4.1% |
| 3 | 52 | 3.5% |
| 5 | 45 | 3.1% |
| 6 | 32 | 2.2% |
| 11 | 24 | 1.6% |
| 8 | 18 | 1.2% |
| Other values (6) | 65 | 4.4% |
| Value | Count | Frequency (%) |
| 0 | 581 | |
| 1 | 357 | |
| 2 | 159 | 10.8% |
| 3 | 52 | 3.5% |
| 4 | 61 | 4.1% |
| 5 | 45 | 3.1% |
| 6 | 32 | 2.2% |
| 7 | 76 | 5.2% |
| 8 | 18 | 1.2% |
| 9 | 17 | 1.2% |
| Value | Count | Frequency (%) |
| 15 | 13 | 0.9% |
| 14 | 9 | 0.6% |
| 13 | 10 | 0.7% |
| 12 | 10 | 0.7% |
| 11 | 24 | 1.6% |
| 10 | 6 | 0.4% |
| 9 | 17 | 1.2% |
| 8 | 18 | 1.2% |
| 7 | 76 | |
| 6 | 32 |
YearsWithCurrManager
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 18 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.123129252 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 263 |
| Zeros (%) | 17.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 10 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.568136121 |
|---|---|
| Coefficient of variation (CV) | 0.8653951654 |
| Kurtosis | 0.1710580839 |
| Mean | 4.123129252 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.833450992 |
| Sum | 6061 |
| Variance | 12.73159537 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 2 | 344 | |
| 0 | 263 | |
| 7 | 216 | |
| 3 | 142 | |
| 8 | 107 | 7.3% |
| 4 | 98 | 6.7% |
| 1 | 76 | 5.2% |
| 9 | 64 | 4.4% |
| 5 | 31 | 2.1% |
| 6 | 29 | 2.0% |
| Other values (8) | 100 | 6.8% |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 76 | 5.2% |
| 2 | 344 | |
| 3 | 142 | |
| 4 | 98 | 6.7% |
| 5 | 31 | 2.1% |
| 6 | 29 | 2.0% |
| 7 | 216 | |
| 8 | 107 | 7.3% |
| 9 | 64 | 4.4% |
| Value | Count | Frequency (%) |
| 17 | 7 | 0.5% |
| 16 | 2 | 0.1% |
| 15 | 5 | 0.3% |
| 14 | 5 | 0.3% |
| 13 | 14 | 1.0% |
| 12 | 18 | 1.2% |
| 11 | 22 | 1.5% |
| 10 | 27 | 1.8% |
| 9 | 64 | |
| 8 | 107 |
Higher_Education
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Post-Graduation | |
|---|---|
| Graduation | |
| PHD | |
| 12th |
Length
| Max length | 15 |
|---|---|
| Median length | 10 |
| Mean length | 8.150340136 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Graduation |
|---|---|
| 2nd row | Graduation |
| 3rd row | Post-Graduation |
| 4th row | PHD |
| 5th row | PHD |
Common Values
| Value | Count | Frequency (%) |
| Post-Graduation | 387 | |
| Graduation | 367 | |
| PHD | 358 | |
| 12th | 358 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| post-graduation | 387 | |
| graduation | 367 | |
| phd | 358 | |
| 12th | 358 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1112 |
|---|---|
| Distinct (%) | 75.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 27-06-2020 | 5 |
|---|---|
| 17-02-2016 | 5 |
| 08-02-2018 | 4 |
| 10-01-2016 | 4 |
| 13-02-2013 | 4 |
| Other values (1107) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 824 ? |
|---|---|
| Unique (%) | 56.1% |
Sample
| 1st row | 21-01-2021 |
|---|---|
| 2nd row | 13-03-2021 |
| 3rd row | 23-01-2021 |
| 4th row | 25-04-2021 |
| 5th row | 14-06-2021 |
Common Values
| Value | Count | Frequency (%) |
| 27-06-2020 | 5 | 0.3% |
| 17-02-2016 | 5 | 0.3% |
| 08-02-2018 | 4 | 0.3% |
| 10-01-2016 | 4 | 0.3% |
| 13-02-2013 | 4 | 0.3% |
| 14-03-2016 | 4 | 0.3% |
| 11-04-2018 | 4 | 0.3% |
| 13-05-2016 | 4 | 0.3% |
| 14-06-2012 | 4 | 0.3% |
| 27-04-2018 | 4 | 0.3% |
| Other values (1102) | 1428 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 27-06-2020 | 5 | 0.3% |
| 17-02-2016 | 5 | 0.3% |
| 08-02-2018 | 4 | 0.3% |
| 14-06-2012 | 4 | 0.3% |
| 24-05-2016 | 4 | 0.3% |
| 21-01-2020 | 4 | 0.3% |
| 27-04-2018 | 4 | 0.3% |
| 10-01-2016 | 4 | 0.3% |
| 13-05-2016 | 4 | 0.3% |
| 11-04-2018 | 4 | 0.3% |
| Other values (1102) | 1428 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Status_of_leaving
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Dept.Head | |
|---|---|
| Salary | |
| Work Environment | |
| Work Accident | |
| Better Opportunity |
Length
| Max length | 18 |
|---|---|
| Median length | 13 |
| Mean length | 12.28911565 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Salary |
|---|---|
| 2nd row | Work Accident |
| 3rd row | Dept.Head |
| 4th row | Work Accident |
| 5th row | Better Opportunity |
Common Values
| Value | Count | Frequency (%) |
| Dept.Head | 314 | |
| Salary | 297 | |
| Work Environment | 290 | |
| Work Accident | 285 | |
| Better Opportunity | 284 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| work | 575 | |
| dept.head | 314 | |
| salary | 297 | |
| environment | 290 | |
| accident | 285 | |
| better | 284 | |
| opportunity | 284 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Mode_of_work
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| WFH | |
|---|---|
| OFFICE |
Length
| Max length | 6 |
|---|---|
| Median length | 3 |
| Mean length | 4.432653061 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OFFICE |
|---|---|
| 2nd row | WFH |
| 3rd row | WFH |
| 4th row | OFFICE |
| 5th row | WFH |
Common Values
| Value | Count | Frequency (%) |
| WFH | 768 | |
| OFFICE | 702 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| wfh | 768 | |
| office | 702 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.568707483 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 243 |
| Zeros (%) | 16.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.716170747 |
|---|---|
| Coefficient of variation (CV) | 0.668106726 |
| Kurtosis | -1.284704635 |
| Mean | 2.568707483 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.08739403717 |
| Sum | 3776 |
| Variance | 2.945242031 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 4 | 279 | |
| 3 | 251 | |
| 5 | 248 | |
| 0 | 243 | |
| 1 | 231 | |
| 2 | 218 |
| Value | Count | Frequency (%) |
| 0 | 243 | |
| 1 | 231 | |
| 2 | 218 | |
| 3 | 251 | |
| 4 | 279 | |
| 5 | 248 |
| Value | Count | Frequency (%) |
| 5 | 248 | |
| 4 | 279 | |
| 3 | 251 | |
| 2 | 218 | |
| 1 | 231 | |
| 0 | 243 |
Absenteeism
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 0 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 395 | |
| 2 | 373 | |
| 3 | 367 | |
| 0 | 335 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 395 | |
| 2 | 373 | |
| 3 | 367 | |
| 0 | 335 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Work_accident
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 736 | |
| True | 734 |
Source_of_Hire
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Recruiter | |
|---|---|
| Job Event | |
| Walk-in | |
| Job Portal |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 8.744897959 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Job Event |
|---|---|
| 2nd row | Recruiter |
| 3rd row | Job Event |
| 4th row | Recruiter |
| 5th row | Job Event |
Common Values
| Value | Count | Frequency (%) |
| Recruiter | 390 | |
| Job Event | 372 | |
| Walk-in | 361 | |
| Job Portal | 347 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| job | 719 | |
| recruiter | 390 | |
| event | 372 | |
| walk-in | 361 | |
| portal | 347 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Job_mode
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| FullTime | |
|---|---|
| Contract | |
| Part Time |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 8.320408163 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Contract |
|---|---|
| 2nd row | Part Time |
| 3rd row | Contract |
| 4th row | FullTime |
| 5th row | Contract |
Common Values
| Value | Count | Frequency (%) |
| FullTime | 517 | |
| Contract | 482 | |
| Part Time | 471 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| fulltime | 517 | |
| contract | 482 | |
| part | 471 | |
| time | 471 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
day
Real number (ℝ≥0)
| Distinct | 25 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.72585034 |
| Minimum | 1 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 16 |
| Q3 | 24 |
| 95-th percentile | 29 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 9.852365536 |
|---|---|
| Coefficient of variation (CV) | 0.6690524016 |
| Kurtosis | -1.484419777 |
| Mean | 14.72585034 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | -0.01871014579 |
| Sum | 21647 |
| Variance | 97.06910666 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 3 | 114 | 7.8% |
| 4 | 102 | 6.9% |
| 1 | 94 | 6.4% |
| 5 | 93 | 6.3% |
| 2 | 82 | 5.6% |
| 6 | 78 | 5.3% |
| 27 | 61 | 4.1% |
| 17 | 60 | 4.1% |
| 24 | 59 | 4.0% |
| 25 | 56 | 3.8% |
| Other values (15) | 671 |
| Value | Count | Frequency (%) |
| 1 | 94 | |
| 2 | 82 | |
| 3 | 114 | |
| 4 | 102 | |
| 5 | 93 | |
| 6 | 78 | |
| 13 | 49 | |
| 14 | 50 | |
| 15 | 47 | |
| 16 | 43 | 2.9% |
| Value | Count | Frequency (%) |
| 31 | 22 | 1.5% |
| 30 | 46 | |
| 29 | 38 | |
| 28 | 42 | |
| 27 | 61 | |
| 26 | 50 | |
| 25 | 56 | |
| 24 | 59 | |
| 23 | 53 | |
| 22 | 53 |
| Distinct | 38 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2013.973469 |
| Minimum | 1969 |
|---|---|
| Maximum | 2021 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1969 |
|---|---|
| 5-th percentile | 2001 |
| Q1 | 2012 |
| median | 2016 |
| Q3 | 2018 |
| 95-th percentile | 2020 |
| Maximum | 2021 |
| Range | 52 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.220257498 |
|---|---|
| Coefficient of variation (CV) | 0.00308854987 |
| Kurtosis | 5.326754596 |
| Mean | 2013.973469 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -1.918546639 |
| Sum | 2960541 |
| Variance | 38.69160334 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 2016 | 196 | |
| 2020 | 171 | |
| 2018 | 128 | |
| 2019 | 127 | |
| 2011 | 120 | |
| 2017 | 110 | 7.5% |
| 2014 | 90 | 6.1% |
| 2012 | 82 | 5.6% |
| 2013 | 80 | 5.4% |
| 2015 | 76 | 5.2% |
| Other values (28) | 290 |
| Value | Count | Frequency (%) |
| 1969 | 1 | 0.1% |
| 1981 | 1 | 0.1% |
| 1984 | 1 | 0.1% |
| 1985 | 2 | 0.1% |
| 1987 | 1 | 0.1% |
| 1988 | 5 | |
| 1989 | 3 | |
| 1990 | 3 | |
| 1991 | 1 | 0.1% |
| 1992 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 2021 | 44 | 3.0% |
| 2020 | 171 | |
| 2019 | 127 | |
| 2018 | 128 | |
| 2017 | 110 | |
| 2016 | 196 | |
| 2015 | 76 | 5.2% |
| 2014 | 90 | |
| 2013 | 80 | |
| 2012 | 82 |
month
Real number (ℝ≥0)
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.692517007 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 11 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.941339086 |
|---|---|
| Coefficient of variation (CV) | 0.6268147951 |
| Kurtosis | 0.2399304571 |
| Mean | 4.692517007 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.9271774104 |
| Sum | 6898 |
| Variance | 8.651475621 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 3 | 222 | |
| 5 | 210 | |
| 4 | 204 | |
| 2 | 195 | |
| 6 | 185 | |
| 1 | 176 | |
| 12 | 67 | 4.6% |
| 7 | 47 | 3.2% |
| 8 | 44 | 3.0% |
| 11 | 44 | 3.0% |
| Other values (2) | 76 | 5.2% |
| Value | Count | Frequency (%) |
| 1 | 176 | |
| 2 | 195 | |
| 3 | 222 | |
| 4 | 204 | |
| 5 | 210 | |
| 6 | 185 | |
| 7 | 47 | 3.2% |
| 8 | 44 | 3.0% |
| 9 | 39 | 2.7% |
| 10 | 37 | 2.5% |
| Value | Count | Frequency (%) |
| 12 | 67 | 4.6% |
| 11 | 44 | 3.0% |
| 10 | 37 | 2.5% |
| 9 | 39 | 2.7% |
| 8 | 44 | 3.0% |
| 7 | 47 | 3.2% |
| 6 | 185 | |
| 5 | 210 | |
| 4 | 204 | |
| 3 | 222 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Age | Attrition | BusinessTravel | Department | DistanceFromHome | Gender | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | NumCompaniesWorked | OverTime | PercentSalaryHike | PerformanceRating | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | YearsAtCompany | YearsSinceLastPromotion | YearsWithCurrManager | Higher_Education | Date_of_Hire | Status_of_leaving | Mode_of_work | Leaves | Absenteeism | Work_accident | Source_of_Hire | Job_mode | day | year | month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 37 | Yes | Travel_Rarely | Research & Development | 2 | Male | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 6 | Yes | 15 | 3 | 0 | 7 | 3 | 0 | 0 | 0 | Graduation | 21-01-2021 | Salary | OFFICE | 4 | 2 | No | Job Event | Contract | 21 | 2021 | 1 |
| 1 | 21 | No | Travel_Rarely | Research & Development | 15 | Male | 3 | 1 | Research Scientist | 4 | Single | 1232 | 1 | No | 14 | 3 | 0 | 0 | 6 | 0 | 0 | 0 | Graduation | 13-03-2021 | Work Accident | WFH | 5 | 2 | No | Recruiter | Part Time | 13 | 2021 | 3 |
| 2 | 45 | No | Travel_Rarely | Research & Development | 6 | Male | 3 | 3 | Research Director | 1 | Married | 13245 | 4 | Yes | 14 | 3 | 0 | 17 | 3 | 0 | 0 | 0 | Post-Graduation | 23-01-2021 | Dept.Head | WFH | 1 | 3 | No | Job Event | Contract | 23 | 2021 | 1 |
| 3 | 23 | No | Travel_Rarely | Sales | 2 | Male | 3 | 1 | Sales Representative | 1 | Divorced | 2322 | 3 | No | 13 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | PHD | 25-04-2021 | Work Accident | OFFICE | 1 | 0 | Yes | Recruiter | FullTime | 25 | 2021 | 4 |
| 4 | 22 | No | Travel_Rarely | Research & Development | 15 | Female | 3 | 1 | Laboratory Technician | 4 | Single | 2871 | 1 | No | 15 | 3 | 0 | 1 | 5 | 0 | 0 | 0 | PHD | 14-06-2021 | Better Opportunity | WFH | 5 | 2 | No | Job Event | Contract | 14 | 2021 | 6 |
| 5 | 19 | Yes | Travel_Rarely | Sales | 22 | Male | 3 | 1 | Sales Representative | 3 | Single | 1675 | 1 | Yes | 19 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | PHD | 14-04-2021 | Work Accident | WFH | 1 | 1 | Yes | Job Portal | Part Time | 14 | 2021 | 4 |
| 6 | 19 | Yes | Travel_Frequently | Sales | 1 | Female | 1 | 1 | Sales Representative | 1 | Single | 2325 | 0 | No | 21 | 4 | 0 | 1 | 5 | 0 | 0 | 0 | PHD | 12-01-2021 | Work Accident | WFH | 2 | 2 | No | Walk-in | Contract | 1 | 2021 | 12 |
| 7 | 28 | Yes | Travel_Rarely | Research & Development | 2 | Male | 3 | 1 | Laboratory Technician | 3 | Single | 3485 | 2 | No | 11 | 3 | 0 | 5 | 5 | 0 | 0 | 0 | Post-Graduation | 30-05-2021 | Work Environment | WFH | 0 | 2 | No | Walk-in | Contract | 30 | 2021 | 5 |
| 8 | 29 | No | Travel_Rarely | Sales | 2 | Male | 2 | 2 | Sales Executive | 2 | Married | 6644 | 2 | No | 19 | 3 | 2 | 10 | 2 | 0 | 0 | 0 | Graduation | 28-02-2021 | Better Opportunity | OFFICE | 5 | 2 | No | Walk-in | Part Time | 28 | 2021 | 2 |
| 9 | 18 | Yes | Travel_Rarely | Research & Development | 3 | Male | 3 | 1 | Laboratory Technician | 3 | Single | 1420 | 1 | No | 13 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | PHD | 06-05-2021 | Work Environment | WFH | 5 | 2 | No | Walk-in | FullTime | 5 | 2021 | 6 |
Last rows
| Age | Attrition | BusinessTravel | Department | DistanceFromHome | Gender | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | NumCompaniesWorked | OverTime | PercentSalaryHike | PerformanceRating | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | YearsAtCompany | YearsSinceLastPromotion | YearsWithCurrManager | Higher_Education | Date_of_Hire | Status_of_leaving | Mode_of_work | Leaves | Absenteeism | Work_accident | Source_of_Hire | Job_mode | day | year | month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1460 | 52 | No | Travel_Rarely | Research & Development | 1 | Male | 2 | 5 | Manager | 3 | Married | 19999 | 0 | No | 14 | 3 | 1 | 34 | 5 | 33 | 11 | 9 | PHD | 14-03-1988 | Better Opportunity | WFH | 5 | 0 | No | Recruiter | FullTime | 14 | 1988 | 3 |
| 1461 | 52 | No | Non-Travel | Sales | 2 | Male | 2 | 5 | Manager | 3 | Single | 19068 | 1 | Yes | 18 | 3 | 0 | 33 | 2 | 33 | 15 | 12 | Graduation | 12-05-1988 | Salary | WFH | 4 | 3 | Yes | Job Event | Part Time | 5 | 1988 | 12 |
| 1462 | 55 | No | Non-Travel | Research & Development | 8 | Male | 2 | 4 | Healthcare Representative | 2 | Divorced | 13577 | 1 | Yes | 15 | 3 | 1 | 34 | 3 | 33 | 15 | 0 | 12th | 09-04-1988 | Salary | WFH | 3 | 1 | No | Walk-in | Part Time | 4 | 1988 | 9 |
| 1463 | 51 | No | Travel_Rarely | Human Resources | 5 | Male | 3 | 4 | Manager | 2 | Divorced | 14026 | 1 | Yes | 11 | 3 | 1 | 33 | 2 | 33 | 0 | 10 | Post-Graduation | 04-04-1988 | Better Opportunity | OFFICE | 4 | 1 | Yes | Job Portal | Contract | 4 | 1988 | 4 |
| 1464 | 53 | Yes | Travel_Rarely | Research & Development | 2 | Female | 2 | 3 | Manufacturing Director | 4 | Married | 10169 | 0 | No | 16 | 3 | 1 | 34 | 4 | 33 | 1 | 9 | Post-Graduation | 20-06-1988 | Work Accident | WFH | 4 | 0 | Yes | Recruiter | Contract | 20 | 1988 | 6 |
| 1465 | 52 | No | Travel_Rarely | Sales | 3 | Male | 2 | 4 | Manager | 1 | Married | 16856 | 1 | No | 11 | 3 | 0 | 34 | 3 | 34 | 1 | 16 | Post-Graduation | 05-06-1987 | Salary | OFFICE | 3 | 2 | No | Job Portal | Part Time | 6 | 1987 | 5 |
| 1466 | 55 | No | Travel_Rarely | Research & Development | 1 | Male | 3 | 5 | Manager | 1 | Single | 19045 | 0 | Yes | 14 | 3 | 0 | 37 | 2 | 36 | 4 | 13 | Post-Graduation | 20-01-1985 | Work Accident | WFH | 1 | 1 | No | Walk-in | FullTime | 20 | 1985 | 1 |
| 1467 | 55 | No | Travel_Rarely | Sales | 26 | Male | 2 | 5 | Manager | 4 | Married | 19586 | 1 | No | 21 | 4 | 1 | 36 | 3 | 36 | 2 | 13 | Post-Graduation | 17-02-1985 | Work Accident | OFFICE | 2 | 1 | No | Recruiter | Part Time | 17 | 1985 | 2 |
| 1468 | 58 | No | Travel_Rarely | Sales | 10 | Male | 3 | 4 | Sales Executive | 3 | Single | 13872 | 0 | No | 13 | 3 | 0 | 38 | 1 | 37 | 1 | 8 | PHD | 29-06-1984 | Work Environment | WFH | 2 | 2 | Yes | Job Event | Part Time | 29 | 1984 | 6 |
| 1469 | 58 | Yes | Travel_Rarely | Research & Development | 23 | Female | 3 | 3 | Healthcare Representative | 4 | Married | 10312 | 1 | No | 12 | 3 | 1 | 40 | 3 | 40 | 15 | 6 | 12th | 08-02-1981 | Work Environment | WFH | 4 | 3 | Yes | Job Portal | FullTime | 2 | 1981 | 8 |